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Persistence of announcement effects on the intraday volatility of stock returns: evidence from individual data

Author

Listed:
  • Sylvie Lecarpentier-Moyal

    (EconomiX - EconomiX - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique)

  • Georges Prat

    (EconomiX - EconomiX - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique)

  • Patricia Renou-Maissant

    (EconomiX - EconomiX - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique)

  • Remzi Uctum

    (EconomiX - EconomiX - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique)

Abstract

We analyze the empirical relationship between announcement effects and return volatilities of four CAC40 companies using intraday financial and event data from SBF-Euronext and Bloomberg, respectively. We estimate the daily component of the intraday volatility using a FIGARCH model and the intraday seasonality by the Fourier Flexible Form. We find that individual return volatilities are affected by a systematic market effect, day effects and announcements related to macroeconomic environment, strategic and financial dealings and commercial outcome, the two latter events being specific to the firm or to its competitors. The volatility responses have delayed and progressive patterns with persistence horizons ranging from one to three hours, suggesting that agents access to complete information gradually.

Suggested Citation

  • Sylvie Lecarpentier-Moyal & Georges Prat & Patricia Renou-Maissant & Remzi Uctum, 2013. "Persistence of announcement effects on the intraday volatility of stock returns: evidence from individual data," Working Papers hal-04141172, HAL.
  • Handle: RePEc:hal:wpaper:hal-04141172
    Note: View the original document on HAL open archive server: https://hal.science/hal-04141172
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    References listed on IDEAS

    as
    1. Foster, F Douglas & Viswanathan, S, 1990. "A Theory of the Interday Variations in Volume, Variance, and Trading Costs in Securities Markets," The Review of Financial Studies, Society for Financial Studies, vol. 3(4), pages 593-624.
    2. Bollerslev, Tim & Ole Mikkelsen, Hans, 1996. "Modeling and pricing long memory in stock market volatility," Journal of Econometrics, Elsevier, vol. 73(1), pages 151-184, July.
    3. Bollerslev, Tim & Ghysels, Eric, 1996. "Periodic Autoregressive Conditional Heteroscedasticity," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(2), pages 139-151, April.
    4. Andersen, Torben G & Bollerslev, Tim, 1997. "Heterogeneous Information Arrivals and Return Volatility Dynamics: Uncovering the Long-Run in High Frequency Returns," Journal of Finance, American Finance Association, vol. 52(3), pages 975-1005, July.
    5. Gallant, A. Ronald, 1981. "On the bias in flexible functional forms and an essentially unbiased form : The fourier flexible form," Journal of Econometrics, Elsevier, vol. 15(2), pages 211-245, February.
    6. Abhijit V. Banerjee, 1993. "The Economics of Rumours," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(2), pages 309-327.
    7. Chan, Kalok & Chockalingam, Mark & Lai, Kent W. L., 2000. "Overnight information and intraday trading behavior: evidence from NYSE cross-listed stocks and their local market information," Journal of Multinational Financial Management, Elsevier, vol. 10(3-4), pages 495-509, December.
    8. Ederington, Louis H & Lee, Jae Ha, 1993. "How Markets Process Information: News Releases and Volatility," Journal of Finance, American Finance Association, vol. 48(4), pages 1161-1191, September.
    9. Sébastien Laurent & Aurélie Boubel & Christelle Lecourt, 2001. "L'impact des signaux de politique monétaire sur la volatilité intrajournalière du taux de change Deutsche Mark-dollar," Revue Économique, Programme National Persée, vol. 52(2), pages 353-370.
    10. Andersen, Torben G & Bollerslev, Tim, 1998. "Answering the Skeptics: Yes, Standard Volatility Models Do Provide Accurate Forecasts," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 885-905, November.
    11. Degiannakis, Stavros & Xekalaki, Evdokia, 2004. "Autoregressive Conditional Heteroskedasticity (ARCH) Models: A Review," MPRA Paper 80487, University Library of Munich, Germany.
    12. Charlotte Lespagnol & Jérôme Teiletche, 2005. "La dynamique de la volatilité à très haute fréquence des taux longs euro," Finance, Presses universitaires de Grenoble, vol. 26(2), pages 87-128.
    13. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
    14. Baillie, Richard T. & Bollerslev, Tim & Mikkelsen, Hans Ole, 1996. "Fractionally integrated generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 74(1), pages 3-30, September.
    15. Orlean, Andre, 1995. "Bayesian interactions and collective dynamics of opinion: Herd behavior and mimetic contagion," Journal of Economic Behavior & Organization, Elsevier, vol. 28(2), pages 257-274, October.
    16. Xu, Xinzhong & Taylor, Stephen J., 1995. "Conditional volatility and the informational efficiency of the PHLX currency options market," Journal of Banking & Finance, Elsevier, vol. 19(5), pages 803-821, August.
    17. French, Kenneth R. & Roll, Richard, 1986. "Stock return variances : The arrival of information and the reaction of traders," Journal of Financial Economics, Elsevier, vol. 17(1), pages 5-26, September.
    18. Gallant, A. Ronald, 1982. "Unbiased determination of production technologies," Journal of Econometrics, Elsevier, vol. 20(2), pages 285-323, November.
    19. Feige, Edgar L & Pearce, Douglas K, 1976. "Economically Rational Expectations: Are Innovations in the Rate of Inflation Independent of Innovations in Measures of Monetary and Fiscal Policy?," Journal of Political Economy, University of Chicago Press, vol. 84(3), pages 499-522, June.
    20. Christian Gourieroux & Olivier Scaillet & Ariane Szafarz, 1997. "Econométrie de la Finance: approches historiques," ULB Institutional Repository 2013/651, ULB -- Universite Libre de Bruxelles.
    21. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    22. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
    23. Christian Gouriéroux & Gaëlle Le Fol, 1998. "Effet des modes de négociation sur les échanges," Revue Économique, Programme National Persée, vol. 49(3), pages 795-808.
    24. Andersen, Torben G. & Bollerslev, Tim & Cai, Jun, 2000. "Intraday and interday volatility in the Japanese stock market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 10(2), pages 107-130, June.
    25. Chang, Yuanchen & Taylor, Stephen J., 1998. "Intraday effects of foreign exchange intervention by the Bank of Japan1," Journal of International Money and Finance, Elsevier, vol. 17(1), pages 191-210, February.
    26. Michael J. Fleming & Eli M. Remolona, 1999. "Price Formation and Liquidity in the U.S. Treasury Market: The Response to Public Information," Journal of Finance, American Finance Association, vol. 54(5), pages 1901-1915, October.
    27. Jennings, R & Starks, L, 1985. "Information-Content And The Speed Of Stock-Price Adjustment," Journal of Accounting Research, Wiley Blackwell, vol. 23(1), pages 336-350.
    28. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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